Google Cloud Database Engineer

Google Cloud via Coursera Specialization

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Overview

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A Database Engineer designs, creates, manages, migrates, and troubleshoots databases used by applications to store and retrieve data. This learning path guides you through a curated collection of on-demand courses, labs, and skill badges that provide you with real-world, hands-on experience using Google Cloud technologies essential to the Database Engineer role. Once you complete the path, check out our catalog for 700+ labs and courses to keep going on your professional journey.

Syllabus

Course 1: A Tour of Google Cloud Hands-on Labs
Course 2: Google Cloud Fundamentals: Core Infrastructure
Course 3: Cloud SQL for MySQL: Qwik Start
Course 4: Migrating to Cloud SQL from Amazon RDS for MySQL Using Database Migration Service
Course 5: Migrating On-premises MySQL Using a Continuous Database Migration Service Job
Course 6: Migrate to Cloud SQL for PostgreSQL using Database Migration Service
Course 7: Connect an App to a Cloud SQL for PostgreSQL Instance
Course 8: Securing a Cloud SQL for PostgreSQL Instance
Course 9: Configure Replication and Enable Point-in-Time-Recovery for Cloud SQL for PostgreSQL
Course 10: Cloud Spanner - Loading Data and Performing Backups
Course 11: Cloud Spanner - Defining Schemas and Understanding Query Plans
Course 12: Deploy a Modern Web App connected to a Cloud Spanner Instance
Course 13: Enterprise Database Migration
Course 14: Select a Google Cloud Database for Your Applications

Courses

8 reviews
6 hours 7 minutes
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Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud's computing and storage services, along with important resource and policy management tools.
0 reviews
19 hours 11 minutes
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This course is intended to give architects, engineers, and developers the skills required to help enterprise customers architect, plan, execute, and test database migration projects. Through a combination of presentations, demos, and hands-on labs participants move databases to Google Cloud while taking advantage of various services. This course covers how to move on-premises, enterprise databases like SQL Server to Google Cloud (Compute Engine and Cloud SQL) and Oracle to Google Cloud bare metal.
0 reviews
30 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this first hands-on lab you will access the Google Cloud Platform Console and use these basic Google Cloud features: Projects, Resources, IAM Users, Roles, Permissions, and APIs.
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40 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you will deploy a new Cloud SQL instance using a customer-managed encryption key (CMEK). You will configure pgAudit to selectively record and track SQL operations performed against that instance, then you will configure and test Cloud SQL IAM database authentication.
0 reviews
1 hour 30 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this lab, you migrate MySQL data from an Amazon RDS instance for MySQL to Cloud SQL for MySQL using a one-time Database Migration Service job and an IP allowlist for connectivity. After you create and run the migration job, you confirm that the data have been successfully migrated to your Cloud SQL for MySQL instance.
0 reviews
1 hour
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This is a self-paced lab that takes place in the Google Cloud console. In this lab, you migrate a stand-alone PostgreSQL database (running on a virtual machine) to Cloud SQL for PostgreSQL using a continuous Database Migration Service job and VPC peering for connectivity.
0 reviews
30 minutes
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This is a self-paced lab that takes place in the Google Cloud console. Create a Google Cloud SQL MySQL instance and perform SQL operations using Google Cloud Platform Console and mysql client. Watch this short video, Manage PostgreSQL and MySQL Databases Easily with Cloud SQL.
0 reviews
40 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you will create a Kubernetes cluster and deploy a simple application to that cluster. Then, connect the application to the supplied Cloud SQL for PostgreSQL database instance and confirm that it is able to write to and read from it.
0 reviews
40 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you will configure and test point-in-time recovery for a Cloud SQL for PostgreSQL instance.
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1 hour 30 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this lab, you migrate an on-premises MySQL database (running on a virtual machine) to Cloud SQL for MySQL using a continuous Database Migration Service job and VPC peering for connectivity. After you create and run the migration job, you confirm that an initial copy of your database has been successfully migrated to your Cloud SQL for MySQL instance. Then, you explore how continuous migration jobs continue to apply data updates from your source database to your Cloud SQL instance until you choose to complete the job. To conclude the migration job, you promote the Cloud SQL instance to be a new standalone database for reading and writing data.
0 reviews
1 hour 30 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you explore various ways to load data into Cloud Spanner as well as perform a backup of your database.
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1 hour 30 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you build and deploy a Node.js application connected to a Cloud Spanner instance. The Node.js application is a stock price visualization tool named OmegaTrade. The OmegaTrade application stores stock prices in Cloud Spanner and renders visualizations using Google Charts.
0 reviews
1 hour 30 minutes
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This is a self-paced lab that takes place in the Google Cloud console. In this lab you review schema related features of Cloud Spanner and apply those to a Banking Operations database. You also review the methods and rules by which Cloud Spanner creates query plans.
0 reviews
7 hours 28 minutes
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In this course, you learn to analyze and choose the right database for your needs, to effectively develop applications on Google Cloud. You explore relational and NoSQL databases, dive into Cloud SQL, AlloyDB, and Spanner, and learn how to align database strengths with your application requirements, including those of generative AI. Gain hands-on experience configuring Vector Search and migrating applications to the cloud.